Zobrazeno 1 - 10
of 7 772
pro vyhledávání: '"A. Yar"'
Pedestrian motion prediction is a key part of the modular-based autonomous driving pipeline, ensuring safe, accurate, and timely awareness of human agents' possible future trajectories. The autonomous vehicle can use this information to prevent any p
Externí odkaz:
http://arxiv.org/abs/2410.16864
Autor:
Yar, Abdullah, Sultana, Rifat
Publikováno v:
Phys. Rev. B 108, 024309 (2023)
We investigate Bloch oscillations of wave packets in monolayer phosphorene with broken inversion symmetry. We find that the real space trajectories, Berry and group velocities of Bloch electron undergo Bloch oscillations in the system. The strong dep
Externí odkaz:
http://arxiv.org/abs/2306.10314
Autor:
Yar, Abdullah
Publikováno v:
Phys. Scr. 98, 095949 (2023)
Brownian dynamics of Dirac fermions in twisted bilayer graphene is investigated within the framework of semiclassical relativistic Langevin equations. We find that under the influence of orthogonal, commensurate ac drives in the periodic ratchet pote
Externí odkaz:
http://arxiv.org/abs/2306.10312
Autor:
ULAŞ, Sinem1 sinemulas1991@gmail.com, YAR, Berçem2 bercemyar@mersin.edu.tr, YAR, Dilan3 dilan.yar@hotmail.com
Publikováno v:
Pamukkale University Journal of Social Sciences Institute / Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. Sep2024, Issue 64, p61-75. 15p.
Most machine learning applications rely on centralized learning processes, opening up the risk of exposure of their training datasets. While federated learning (FL) mitigates to some extent these privacy risks, it relies on a trusted aggregation serv
Externí odkaz:
http://arxiv.org/abs/2301.09732
Publikováno v:
Review of Behavioral Finance, 2023, Vol. 16, Issue 3, pp. 424-438.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RBF-05-2023-0121
Autor:
Bang, Seonggyu1,2 (AUTHOR), Qamar, Ahmad Yar3 (AUTHOR), Yun, Sung Ho4 (AUTHOR), Gu, Na-Yeon5 (AUTHOR), Kim, Heyyoung2,6 (AUTHOR), Han, Ayeong1,2 (AUTHOR), Kang, Heejae1,2 (AUTHOR), Park, Hye Sun4 (AUTHOR), Kim, Seung II4 (AUTHOR), Saadeldin, Islam M.2,7 (AUTHOR), Lee, Sanghoon2 (AUTHOR), Cho, Jongki1 (AUTHOR) cjki@snu.ac.kr
Publikováno v:
Journal of Animal Science & Biotechnology. 11/29/2024, Vol. 15 Issue 1, p1-14. 14p.
Autor:
Yar, Ali1 (AUTHOR), Ullah, Rehman1 (AUTHOR), Khan, Muhammad Nauman2,3 (AUTHOR), Iqbal, Majid4,5 (AUTHOR), Ercisli, Sezai6,7 (AUTHOR), Kaplan, Alevcan8 (AUTHOR), Olana, Diriba Dereje9 (AUTHOR) dirroodare@gmail.com, Javed, Muhammad Ammar10 (AUTHOR) ammarjaved94@gmail.com, Mohamed, ELsiddig Idriss11 (AUTHOR), Baowidan, Souad12 (AUTHOR), Harakeh, Steve13,14 (AUTHOR), Moulay, Mohammed15,16 (AUTHOR)
Publikováno v:
Scientific Reports. 10/28/2024, Vol. 14 Issue 1, p1-17. 17p.
Autor:
Severi, Giorgio, Jagielski, Matthew, Yar, Gökberk, Wang, Yuxuan, Oprea, Alina, Nita-Rotaru, Cristina
Federated learning is a popular strategy for training models on distributed, sensitive data, while preserving data privacy. Prior work identified a range of security threats on federated learning protocols that poison the data or the model. However,
Externí odkaz:
http://arxiv.org/abs/2208.12911
The brain tumor is the most aggressive kind of tumor and can cause low life expectancy if diagnosed at the later stages. Manual identification of brain tumors is tedious and prone to errors. Misdiagnosis can lead to false treatment and thus reduce th
Externí odkaz:
http://arxiv.org/abs/2208.00768